Question: Misinterpretation is a common problem when using statistical information. It may be caused by a number of factors, such as misunderstanding the data, using incomparable

Misinterpretation is a common problem when using statistical information. It may be

caused by a number of factors, such as misunderstanding the data, using incomparable

definitions, or even deliberately misinterpreting the information. Please describe

two recent examples in real life where statistics are misinterpreted. Explain in detail

how they are misinterpreted and what should be the correct interpretation.

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